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http://science.ijournals.cn/jsunature_cn/ch/reader/view_abstract.aspx?file_no=B230048&flag=1

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收稿日期:          年卷(期)页码:2020,61(1):016002-

期刊名称:四川大学学报: 自然科学版

Journal Name:Journal of Sichuan University (Natural Science Edition)

关键字:http://science.ijournals.cn/jsunature_cn/ch/reader/view_abstract.aspx?file_no=B230048&flag=1

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Abstract:To use a bioinformatics system to analyze the early diagnosis and prognosis prediction performance and immune infiltration correlation of Progestagenassociated endometrial protein (PAEP) in gastric cancer, this study constructed a predictive model ROC curve and deviation correction curve to test its performance accuracy, and further validate the analysis results through cell experiments. The results of bioinformatics analysis showed that the expression of PAEP in gastric cancer tissues was higher than that in normal tissues, which was statistically significant in the early stages (T1, N0, M0) (P

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